Wildlife habitat mapping using a small aerial vehicle

使用小型飞行器绘制野生动物栖息地地图

• 批准号: 570580-2021
• 负责人: Bramesfeld, Goetz
• 金额: $ 26.9万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=722661
• 关键词: Wildlife; habitat; mapping; using; small

The goal of the proposed partnership is to develop, demonstrate and evaluate the feasibility of using a small airborne system for surveying Canada's rich and diverse natural habitats and wildlife. Such a system will provide data for informed and balanced policy decisions related to wildlife management while maintaining a natural resource industry that has suffered under the economic challenges of the pandemic and plays an integral part in Canada's economic recovery, especially post COP26. The surveying platform is based on an existing solar-powered aircraft that weighs about 15 kg, has a 6.3-m wingspan and has successfully completed several long-duration flights exceeding eight hours. The aircraft will collect data in the visual and infrared ranges. Artificial intelligence and other advanced algorithms will be used to evaluate the collected data. Compared to other methods, such as satellite imagery or images collected using crewed aircraft, the proposed approach is more cost-effective, more flexible, less intrusive, and with fewer risks to operators. If the proposed method is successful, Canada will have another effective tool that will help make essential decisions regarding land-management policies, which is particularly important as we emerge from the pandemic. Aside from these direct benefits, the project will help with the continued expansion of Canada's world leadership in technologies related to uncrewed aerial vehicles and provide at least six HQPs high-quality training opportunities.

拟议的合作伙伴关系的目标是开发、演示和评估使用小型机载系统调查加拿大丰富多样的自然栖息地和野生动物的可行性。这样一个系统将为与野生动物管理有关的明智和平衡的政策决策提供数据，同时维持在大流行的经济挑战下遭受损失的自然资源产业，并在加拿大的经济复苏中发挥不可或缺的作用，特别是在COP26之后。该测量平台基于一架现有的太阳能飞机，该飞机重约15公斤，翼展6.3米，已经成功完成了几次超过8小时的长时间飞行。这架飞机将收集可见光和红外线范围内的数据。人工智能和其他先进算法将用于评估收集到的数据。与其他方法相比，如卫星图像或使用载人飞机收集的图像，该方法更具成本效益，更灵活，干扰更小，对运营商的风险也更小。如果提议的方法取得成功，加拿大将拥有另一种有效工具，有助于就土地管理政策作出重要决定，这在我们摆脱这一流行病之际尤为重要。除了这些直接利益外，该项目还将有助于继续扩大加拿大在无人机相关技术方面的世界领先地位，并提供至少6个hqp高质量的培训机会。